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Course Outline
Introduction to X402 and Decentralized AI
- Overview of Coinbase’s X402 protocol.
- Motivation: Establishing secure AI agents with on-chain identity.
- Architecture overview and key components.
Setting Up the Development Environment
- Installing the X402 SDK and necessary dependencies.
- Configuring wallets and identity layers.
- Integrating Node.js and Python for cross-language workflow support.
Understanding the X402 Protocol
- Core principles governing agent-wallet interactions.
- Data signing, verification processes, and privacy measures.
- Patterns for secure communication and authorization.
Integrating AI Models into X402 Applications
- Connecting with OpenAI, DeepSeek, Qwen, and Mistral Small.
- Managing model inference and token consumption.
- Creating autonomous, wallet-aware AI agents.
Implementing Smart Contracts for AI Interaction
- Defining agent permissions using Solidity.
- Handling blockchain transactions driven by LLMs.
- Testing and debugging the behavior of decentralized AI systems.
Security, Compliance, and Data Sovereignty
- Regulatory considerations for AI and cryptocurrency.
- Data ownership and privacy-preserving computation methods.
- Auditing and securing interactions between agents.
Advanced Architectures and Enterprise Integration
- Integrating X402 with corporate identity management systems.
- Designing scalable, multi-agent infrastructures.
- Case studies: AI-driven payments, analytics, and automation.
Deployment and Operations
- Deploying decentralized AI agents in production environments.
- Monitoring and maintaining X402-based systems.
- Optimizing performance and managing costs.
Summary and Next Steps
Requirements
- Fundamental understanding of blockchain technology.
- Practical experience in API integration and smart contract development.
- Basic familiarity with Large Language Models and prompt engineering techniques.
Target Audience
- Software engineers focused on developing AI-integrated blockchain applications.
- Enterprise architects investigating decentralized AI infrastructure.
- Engineering leaders tasked with building secure, compliant AI agents using on-chain systems.
21 Hours
Testimonials (1)
- like the blockchain introduction. For a blockchain newbie like me, its englighten me. - Like the technical workshop, also interesting
